TLDR Tech / Data
Zero-Waste Agentic RAG: Designing Caching Architectures to Minimize Latency and LLM Costs at Scale
A validation-aware, two-tier caching strategy for production-grade RAG systems has reduced LLM token costs by over 30% and slashed response times from around 36 seconds to milliseconds for semantically similar queries. This architecture combines semantic caching (embedding-based, ~95% similarity) and retrieval caching (context/topic-level, >70%), addressing redundancy, data staleness, and cache invalidation through timestamp checks, SHA-256 fingerprinting, and predicate caching.
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